基于分块灰度统计特性的空域鲁棒信息隐藏算法

A robust spatial information hiding algorithm based on statistic characteristics

提出了一种基于图像分块灰度统计特性和混沌系统的空域信息隐藏新算法.利用空域重要位位置上的统计特性的相对不变特性对掩饰空间的选取过程加以控制,通过混沌猫映射的置乱增强秘密信息的不可见性,使得信息隐藏过程中秘密信息的脆弱性与隐秘的不可见性这两者的矛盾有机地统一起来.实验结果表明,在隐秘图像具有良好的不可见性的前提下,隐藏容量大于LSB算法,具有抗检测、抗提取能力,算法具有较强的抗椒盐、剪切、LSB、多低位破坏、JPEG、高斯白噪声攻击能力,鲁棒性好,优于传统的空域信息隐藏算法.

Proposed a new robust spatial domain information hiding algorithm based on statistic characteristics and chaotic system. The stable statistic characteristics at the significant position of spatial domain were used to help the process of the selection of cover space. Chaotic map increased the invisibility of secret message. The selection of cover space and the chaotic map both smoothed the contradiction between the fragility of secret message and invisibility of hiding. Experiment results show that this algorithm had good invisibility and also had the ability to resist many attacks, such as salt and peppers, cut, LSB, some least significant bit destroy, JEPG , Gaussian and so on. It had nice robustness, was better than conventional spatial domain information hiding algorithms.